Alternatives and similar repositories for pydpc

Users that are interested in pydpc are comparing it to the libraries listed below

• GuipengLi / Dcluster
  Clustering by fast search and find of density peaks
  ☆77Updated 6 years ago
• lanbing510 / DensityPeakCluster
  Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.
  ☆130Updated 9 years ago
• NaegleLab / OpenEnsembles
  Code for ensemble clustering
  ☆102Updated 2 months ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆173Updated 4 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆76Updated 3 years ago
• mstrazar / iONMF
  Integrative orthogonal non-negative matrix factorization
  ☆31Updated 5 years ago
• VGligorijevic / deepNF
  Deep Network Fusion (deepNF)
  ☆32Updated 5 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆107Updated 6 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• mims-harvard / ohmnet
  OhmNet: Representation learning in multi-layer graphs
  ☆83Updated 4 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 7 years ago
• JihongJu / deep-pu-learning
  Deep Learning with Positive and Unlabeled samples
  ☆54Updated 7 years ago
• VahidooX / DeepLDA
  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
  ☆41Updated 7 years ago
• jasonwbw / DensityPeakCluster
  A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.
  ☆306Updated 7 years ago
• xypan1232 / iDeepV
  iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.
  ☆10Updated 6 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 7 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• TammoR / LogicalFactorisationMachines
  ☆21Updated 6 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 6 years ago
• minxueric / ismb2017_lstm
  Chromatin Accessibility Prediction via Convolutional Long Short-Term Memory Networks with k-mer Embedding
  ☆14Updated 6 years ago
• jssong-lab / maxEnt
  ☆11Updated 7 years ago
• hechtlinger / graph_cnn
  Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"
  ☆51Updated 8 years ago
• fllinares / neural_fingerprints_tf
  A TensorFlow implementation of "Convolutional Networks on Graphs for Learning Molecular Fingerprints".
  ☆30Updated 8 years ago
• rahulk90 / vae_sparse
  VAEs on Sparse Data
  ☆12Updated 7 years ago
• TuftsBCB / Walker
  Python implementation of Kohler et al.'s random walk with restart
  ☆29Updated 6 years ago
• amardt / DeepGenMSM
  Code for the results of the Paper:
  ☆21Updated 7 years ago
• mims-harvard / fastGNMF
  Fast graph-regularized matrix factorization
  ☆20Updated last year
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆135Updated 6 years ago
• isaacrob / treesne
  ☆63Updated 5 years ago
• hav4ik / Hydra
  Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
  ☆149Updated 6 years ago